Disentangling Internal and Forced Climate Variability with Convolutional Neural Networks using Multivariate Fields
Long-term climate data exhibit variations composed of internal and forced components. Internal variability arises from natural processes that could occur within a stable climate. Forced variability, on the other hand, reflects climate changes induced, for example, by anthropogenic greenhouse gas and aerosol emissions. Accurately...